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caTissue Core 
caTissue is a biobanking management tool to collect, manage, process, annotate, request, and distribute biospecimens and associated information.
- Provides browser-based and programmatic access to biospecimen data
- Provides a means for collecting, processing, storing, and distributing specimens for correlative science cancer research
- Manages tissue, fluid, cell, and molecular biospecimen information
- Allows users to find and request specimens needed for use in molecular correlative studies
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CTODS
The Clinical Trials Object Data System (CTODS) Viewer enables storing, viewing and sharing of clinical trials data in both identifiable and de-identified form.
- Enables data from any Clinical Trials Data Management System (CDMS) or data source to be available to the cancer research community
- Provides clinical research partners with identifiable clinical trials data (as permitted)
- Provides the broader cancer research community with de-identified clinical trials data (data that have all patient identification information removed)
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caGWAS
Cancer Genome-Wide Association Studies (caGWAS) allows researchers to integrate, query, report, and analyze significant associations between genetic variations and disease, drug response or other clinical outcomes. New breakthroughs in SNP array technologies make it possible to genotype hundreds of thousands of single nucleotide polymorphisms (SNPs) simultaneously, enabling whole genome association studies.
Within the Clinical Genomic Object Model (CGOM), the caIntegrator team created a domain model for Whole Genome Association Study Analysis. CGOM-caGWAS is a semantically annotated domain model that captures associations between Study, Study Participant, Disease, SNP Association Analysis, SNP Population Frequency and SNP annotations.
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NCIA
NCIA is a searchable repository of in vivo cancer images, such as CT, MRI, and Digital X-rays. NCIA also contains annotation files (PDF, image markup) and annotation data provided by a curator. Cancer images are integrated with clinical and genomic data.
- Enables development of imaging resources that will lead to improved clinical decision support
- Provides an accessible repository for images along with key annotations
- Accelerates diagnostic imaging decision-making and quantitative imaging assessment of drug response
- Serves as a platform for image data management and integration with other research data types
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caArray
caArray is an open-source, web and programmatically accessible array data management system. caArray guides the annotation and exchange of array data using a federated model of local installations whose results are shareable across the cancer Biomedical Informatics Grid (caBIG™). caArray furthers translational cancer research through acquisition, dissemination and aggregation of semantically interoperable array data to support subsequent analysis by tools and services on and off the Grid. As array technology advances and matures, caArray will extend its logical library of assay management.
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caGrid
caGrid is a service-oriented architecture and federation that connects caBIG™-compatible systems together regardless of where they are installed.
- Query across data resources installed in different locations
- Automatically integrate comparable data from different sources
- Create workflow pipelines for data retrieval and analysis using resources across the grid
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